Multimodal RAG Outperforms Text-Only Systems in Legal Document Retrieval Benchmarks

This report synthesises findings from 7 peer-reviewed papers addressing the following research question: Do multimodal retrieval-augmented generation systems (e.g., integrating text and structured legal case data) improve MRR@10 scores over text-only RAG on legal text retrieval benchmarks like eCQA. 10 claims were extracted from source literature; 9 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: Do multimodal retrieval-augmented generation systems (e.g., integrating text and structured legal case data) improve MRR@10 scores over text-only RAG on legal text retrieval benchmarks like eCQA?

Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.